Predictive Energy Management

Abstract

Predictive energy management comprising systems and methods to collect information about the configuration of energy resources and historical data about energy utilization as to make recommendations on how to optimize those energy resources are disclosed. Intelligent distributed energy resources (IDERs) which are devices that are energy producers or consumers that are automatable with application programming interfaces are aggregated together. An intelligent energy profile, which comprises a summary of energy resources and historical data about utilization is generated. A predictive algorithm is applied to the intelligent energy profile thereby generating a predicted future state, and a recommendation on how to optimize against that predicted future state is generated. In some embodiments generative artificial intelligence techniques are utilized, and in some embodiments the recommendations are automatically performed via the generation of computer script embodying the recommendations. The predictive energy management techniques scale from a single building, through microgrids, to the national level.

CPC Classifications